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CN103867262A - Articulate filter regeneration management - Google Patents

Articulate filter regeneration management Download PDF

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Publication number
CN103867262A
CN103867262A CN201310757216.8A CN201310757216A CN103867262A CN 103867262 A CN103867262 A CN 103867262A CN 201310757216 A CN201310757216 A CN 201310757216A CN 103867262 A CN103867262 A CN 103867262A
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CN
China
Prior art keywords
regeneration
deviation
particulate filter
district
supposition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201310757216.8A
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Chinese (zh)
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CN103867262B (en
Inventor
M·阿达內斯
R·阿达內斯
M·J·小帕拉托尔
E·V·冈策
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GM Global Technology Operations LLC
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GM Global Technology Operations LLC
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N9/00—Electrical control of exhaust gas treating apparatus
    • F01N9/002—Electrical control of exhaust gas treating apparatus of filter regeneration, e.g. detection of clogging
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/66—Regeneration of the filtering material or filter elements inside the filter
    • B01D46/80—Chemical processes for the removal of the retained particles, e.g. by burning
    • B01D46/84—Chemical processes for the removal of the retained particles, e.g. by burning by heating only
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/02—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust
    • F01N3/021—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters
    • F01N3/023—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters using means for regenerating the filters, e.g. by burning trapped particles
    • F01N3/027—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters using means for regenerating the filters, e.g. by burning trapped particles using electric or magnetic heating means
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N9/00—Electrical control of exhaust gas treating apparatus
    • F01N9/005—Electrical control of exhaust gas treating apparatus using models instead of sensors to determine operating characteristics of exhaust systems, e.g. calculating catalyst temperature instead of measuring it directly
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N13/00—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00
    • F01N13/009—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00 having two or more separate purifying devices arranged in series
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2330/00—Structure of catalyst support or particle filter
    • F01N2330/06—Ceramic, e.g. monoliths
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2550/00—Monitoring or diagnosing the deterioration of exhaust systems
    • F01N2550/04—Filtering activity of particulate filters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2560/00—Exhaust systems with means for detecting or measuring exhaust gas components or characteristics
    • F01N2560/06—Exhaust systems with means for detecting or measuring exhaust gas components or characteristics the means being a temperature sensor
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2900/00—Details of electrical control or of the monitoring of the exhaust gas treating apparatus
    • F01N2900/06—Parameters used for exhaust control or diagnosing
    • F01N2900/16—Parameters used for exhaust control or diagnosing said parameters being related to the exhaust apparatus, e.g. particulate filter or catalyst
    • F01N2900/1606—Particle filter loading or soot amount
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/02—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust
    • F01N3/021—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters
    • F01N3/022—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters characterised by specially adapted filtering structure, e.g. honeycomb, mesh or fibrous
    • F01N3/0222—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters characterised by specially adapted filtering structure, e.g. honeycomb, mesh or fibrous the structure being monolithic, e.g. honeycombs
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/08—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous
    • F01N3/10—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust
    • F01N3/105—General auxiliary catalysts, e.g. upstream or downstream of the main catalyst
    • F01N3/106—Auxiliary oxidation catalysts
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/08—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous
    • F01N3/10—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust
    • F01N3/18—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control
    • F01N3/20—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control specially adapted for catalytic conversion ; Methods of operation or control of catalytic converters
    • F01N3/2066—Selective catalytic reduction [SCR]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Analytical Chemistry (AREA)
  • Processes For Solid Components From Exhaust (AREA)
  • Exhaust Gas After Treatment (AREA)

Abstract

The invention relates to the articulate filter regeneration management. A method for implementing particulate filter regeneration management is provided. The method includes determining a presumptive deviation between a particulate model and actual particulate level conditions of the particulate filter. The presumptive deviation is determined from identification of an occurrence of extended parking, a passive regeneration, residual particulates, and a pressure signal. Each of the extended parking, passive regeneration, residual particulate, and pressure signal is specified by a respective particulate model deviation type. The method also includes selectively controlling current to at least one zone of a plurality of zones of an electric heater to initiate a regeneration event based on the presumptive deviation, and estimating the particulate level in the particulate filter once the regeneration event is complete.

Description

Particulate filter regeneration management
Technical field
The present invention relates to vehicle exhaust system, and relate in particular to particulate filter regeneration management.
Background technique
The exhaust of discharging from explosive motor is to comprise gaseous emissions (for example, carbon monoxide (CO), unburned hydrocarbon (HC) and nitrogen oxide (NO x), and form the solidifying phase material (liquid and solid) of particulate matter) the mixture of non-single component.In diesel engine exhaust system, provide the catalyst component being conventionally arranged on catalyst support member or matrix, so as by these exhaust components some or all component convert not controlled exhaust gas composition to.
Particulate filter removes particulate matter from exhaust.Particulate matter is gathered in particulate filter.The particulate matter gathering causes the vent systems back pressure being suffered by motor to increase.In order to tackle this increase, particulate filter is timed and cleans or regeneration.The regeneration of the particulate filter in vehicle application is generally automatically, and the estimation of the particulate matter level based on in particulate filter is controlled by motor or other controllers.But, may be inaccurate to the estimation of particle level, for example work as may affect the unknown of for example, in (, increase or reduce) vent systems particulate matter level or uncertain condition generation time.
Therefore, need to provide a kind of method that can estimate more accurately the particulate matter level in particulate filter.
Summary of the invention
In an example embodiment, provide a kind of for realizing the method for particulate filter regeneration management.The method comprises: determine the supposition deviation between granular model and the actual particle level situation of particulate filter by computer processor.Described supposition deviation be by identification following every at least one determine, described every comprising: long-time parking, passive regeneration, residual particles and pressure signal.Each in long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type.The method also comprises: based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event, once and regeneration event complete the particle level of just estimating in particulate filter.
In another example embodiment, provide a kind of for realizing the control system of particulate filter regeneration management.This control system comprises the first module of the supposition deviation between granular model and the actual particle level situation of determining particulate filter, described supposition deviation be by identify following every at least one determine, described every comprising: parking, passive regeneration, residual particles and the pressure signal of prolongation, wherein each in parking for a long time, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type.The second module based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event.Once the 3rd module is estimated the particle level in particulate filter in the situation that regeneration event completes.
In another example embodiment, provide a kind of vehicle.This vehicle comprises the particulate filter with electric heater, and wherein said electric heater is divided into multiple districts.Control module comprises computer processor.Described computer processor has been realized a kind of method.The method comprises the supposition deviation between granular model and the actual particle level situation of determining particulate filter, described supposition deviation be by identify following every at least one determine, described every comprising: parking, passive regeneration, residual particles and the pressure signal of prolongation, and extend parking, passive regeneration, residual particles and pressure signal in each specify by corresponding granular model Deviation Type.The method also comprise based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event, once and regeneration event complete the particle level of just estimating in particulate filter.
The present invention also comprises technological scheme below:
1. for realizing a method for particulate filter regeneration management, comprising:
Utilize computer processor to determine the supposition deviation between the actual particle level situation of granular model and described particulate filter, by in identification parking for a long time, passive regeneration, residual particles and pressure signal at least one determine described supposition deviation, each in described long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type;
Based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event; And
Once described regeneration event completes, estimate the particle level in described particulate filter.
2. the method as described in technological scheme 1, further comprises based on described granular model Deviation Type and determines regeneration replacement priority.
3. the method as described in technological scheme 2, wherein, described regeneration replacement priority is at least one in high priority, medium priority and low priority, described regeneration replacement priority has specified the timing of described regeneration event.
4. the method as described in technological scheme 1, further comprises based on described granular model Deviation Type and determines at least one district in described multiple district.
5. the method as described in technological scheme 1, wherein, to lead at least one district in multiple districts current selective control and comprise: coordinate the regeneration request that triggered by described granular model and in response to the regeneration of the determining supposition deviation request of resetting.
6. the method as described in technological scheme 1, wherein, in the time that described granular model Deviation Type is passive regeneration, described at least one district comprises described multiple district.
7. the method as described in technological scheme 1, wherein, in the time that described granular model Deviation Type is in described long-time parking, residual smoke and described pressure signal, the district that described at least one district comprises is less than whole districts in described multiple districts.
8. the method as described in technological scheme 1, further comprise: at least one in the particle level of the estimation based in exhaust situation, driving condition, described particulate filter and described supposition deviation determined regeneration type, and described regeneration type comprises at least one in the regeneration based on fuel and the regeneration based on electric power.
9. for realizing a control system for particulate filter regeneration management, comprising:
The first module, described the first module is determined the supposition deviation between the actual particle level situation of granular model and described particulate filter, by in identification parking for a long time, passive regeneration, residual particles and pressure signal at least one determine described supposition deviation, each in described long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type;
The second module, described the second module based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event; And
The 3rd module, once described regeneration event completes, so described the 3rd module is estimated the particle level in described particulate filter.
10. the control system as described in technological scheme 9, further comprises four module, and described four module is determined regeneration replacement priority based on described granular model Deviation Type.
11. control system as described in technological scheme 10, wherein, described regeneration replacement priority is at least one in high priority, medium priority and low priority, described regeneration replacement priority has specified the timing of described regeneration event.
12. control system as described in technological scheme 9, further comprise four module, and described four module is determined at least one district in described multiple district based on described granular model Deviation Type.
13. control system as described in technological scheme 9, wherein, to lead at least one district in multiple districts current selective control and comprise: coordinate the regeneration request that triggered by described granular model and in response to the regeneration of the determining supposition deviation request of resetting.
14. control system as described in technological scheme 9, wherein, in the time that described granular model Deviation Type is passive regeneration, described at least one district comprises described multiple district.
15. control system as described in technological scheme 9, wherein, in the time that described granular model Deviation Type is in long-time parking, residual smoke and described pressure signal, the district that described at least one district comprises is less than whole districts in described multiple districts.
16. 1 kinds of vehicles, comprising:
Particulate filter, described particulate filter has the electric heater that is divided into multiple districts; And
Control module, described control module comprises computer processor, and described computer processor has been realized a kind of method, and described method comprises:
Determine the supposition deviation between the actual particle level situation of granular model and described particulate filter, by in identification parking for a long time, passive regeneration, residual particles and pressure signal at least one determine described supposition deviation, each in described long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type;
Based on described supposition deviation to lead at least one district in multiple districts of described electric heater current selective control to start regeneration event; And
Once described regeneration event completes, just estimate the particle level in described particulate filter.
17. vehicles as described in technological scheme 16, wherein, described method further comprises based on described granular model Deviation Type determines regeneration replacement priority.
18. vehicles as described in technological scheme 17, wherein, described regeneration replacement priority is at least one in high priority, medium priority, low priority, described regeneration replacement priority has specified the timing of described regeneration event.
19. vehicles as described in technological scheme 16, wherein, described method further comprises based on described particle level model bias type determines at least one district in described multiple district.
20. vehicles as described in technological scheme 15, wherein, to lead at least one district in multiple districts current selective control and comprise: coordinate the regeneration request that triggered by described granular model and in response to the regeneration of the determining supposition deviation request of resetting.
In conjunction with corresponding accompanying drawing, from detailed description of the invention below, above-mentioned feature and advantage of the present invention and other feature and advantage will be apparent.
Brief description of the drawings
Only, as example, in embodiment's detailed description, other features, advantage and details will manifest below, and these are described in detail with reference to accompanying drawing, in the accompanying drawings:
Fig. 1 is according to the functional block diagram of the exhaust-gas treatment system for the management of regenerating of example embodiment;
Fig. 2 is data flow diagram, and it shows the control module that is used for realizing regeneration management according to example embodiment; And
Fig. 3 is flow chart, and it shows the process that is used for realizing regeneration management according to example embodiment.
Embodiment
Description is below only exemplary in essence, and is not intended to limit invention, its application, or uses.Should be understood that, spread all over whole accompanying drawing, corresponding identical or corresponding parts and the feature of reference character instruction.
In one embodiment, realize particulate filter regeneration management process by vehicle exhaust processing system.Be used to determine in the data of pressure reduction model and exhaust-gas treatment system between the actual particle gathering that to the input of the control system of vehicle exhaust processing system possibility exists deviation, and in conjunction with actual vent systems situation, this model solved or again proofread and correct.Control system comprises the various modules that are configured to determine whether to have such deviation and determine and implement corrective measure.As used herein, term " module " refers to specific integrated circuit (ASIC), electronic circuit, carries out processor (shared, special or in groups) and storage, the combinational logic circuit of one or more softwares or firmware program and/or other applicable parts of described function is provided.
Referring now to Fig. 1,, an example embodiment relates to the exhaust-gas treatment system that is subject to control exhaust gas composition 10 for reducing explosive motor 12.Exhaust-gas treatment system 10 described here can be realized in various engine systems to realize particulate filter.Such engine system is including, but not limited to diesel engine system, gasoline direct system and homogeneous charge compression ignition engine system.
Exhaust-gas treatment system 10 generally comprises one or more exhaust ducts 14 and one or more exhaust gas treatment device.Exhaust gas treatment device comprises: for example, and oxidation catalyst device (OC) 18, selective catalytic reduction device (SCR) 20 and particulate filter arrangements (PF) 22.Can understand, exhaust-gas treatment system 10 of the present invention can comprise various combinations one or more in the exhaust gas treatment device shown in PF22 and Fig. 1, and/or other exhaust gas treatment device (not shown), and is not limited to this example.
In Fig. 1, can comprise that the exhaust duct 14 of some sections is transported to exhaust 15 each exhaust gas treatment device of exhaust-gas treatment system 10 from motor 12.OC18 can comprise: for example, and through-flow metal or ceramic monoliths matrix.This matrix can be encapsulated in housing or tank, and described housing or tank have the import and the outlet that are communicated with exhaust duct 14 fluids.This matrix can comprise oxidation catalysis immunomodulator compounds disposed thereon.Oxidation catalysis immunomodulator compounds can be used as washcoat layer (wash coat), and can comprise platinum group metal, for example platinum (Pt), palladium (Pd), rhodium (Rh), or can comprise oxidation catalyst that other are suitable or their combination.OC18 is for example useful processing in unburned gaseous state and non-volatile HC and CO, and described gaseous state and non-volatile HC and CO are oxidized to carbon dioxide and water.
With respect to flowing of exhaust 15, SCR20 can be arranged on the downstream of OC18.With with the similar mode of OC18, SCR20 also can comprise for example through-flow metal or ceramic monoliths matrix.This matrix is encapsulated in housing or tank, and described housing or tank have the import and the outlet that are communicated with exhaust duct 14 fluids.This matrix can comprise the SCR catalyst component being applied on it.SCR catalyst component can comprise zeolite and one or more base metal, for example iron (Fe), cobalt (Co), copper (Cu) or vanadium (V), thus these components can operate for example, in the situation that there is reducing agent (ammonia (NH3)) the NOx composition in transform exhaust 15 effectively.
Can supply NH from reducing agent supply source 24 3reducing agent, and can utilize sparger 26 that this injection of reducing agent is mapped in exhaust duct 14 in the position of SCR20 upstream, or can this reducing agent be delivered to exhaust 15 by other suitable methods.Reducing agent can be the form of gas, liquid or aqueous solution of urea, thereby and can in sparger 26, mix the diffusion that contributes to spraying with air.Also can mixer or turbulator 28 be set near sparger 26 exhaust duct 14 is interior, further to help fully mixing of reducing agent and exhaust 15.
With respect to flowing of exhaust 15, PF22 can be arranged on SCR20 downstream.PF22 operates so that the carbon in filtering exhaust 15 and other particles.In various embodiments, PF22 can be configured to use ceramic wall flow formula material all in one piece filter 23, described ceramic wall streaming material all in one piece filter 23 is wrapped in expansion block, or is wrapped in other suitable support that expand in the time being heated, thus fixing and guard filter 23.The filter 23 of PF22 can be encapsulated in for example stainless housing or tank, and PF22 has the import 25 and the outlet 27 that are communicated with exhaust duct 14 fluids.Ceramic wall streaming material all in one piece filter 23 can have the passage of multiple longitudinal extensions, and the passage of described multiple longitudinal extensions is limited by the porous wall of longitudinal extension.Described passage comprises: inlet channel subset, and it has the entry end of opening and the outlet end of sealing; And outlet passage subset, it has the entry end of sealing and the outlet end of opening.Thereby the exhaust 15 that enters filter 23 by the entry end of inlet channel is forced to the porous wall arrival outlet passage of migration through adjacent longitudinal extension.By Gai Biliu mechanism, exhaust 15 has been filtered carbon and other particles.The particle deposition being filtered on the wall of the longitudinal extension of inlet channel, and along with the time goes over, when the Particle Blocking gathering when hole, the impact that can make exhaust back pressure that IC motor 12 suffers increase.It being understood that ceramic wall streaming material all in one piece filter is only exemplary in essence, and PF22 can comprise other particulate filter arrangements, for example, be wound around or fabric filter, open-cell foam material, the sintered metal fiber of parcel, etc.
The particulate matter of PF22 inner accumulated needs cleaned at regular intervals or regeneration.Regeneration is included in and is generally oxidation or burn carbon and other particles of gathering in the high temperature environment of (being greater than 550 DEG C).Described regeneration may be embodied as the regeneration based on fuel or the regeneration based on electric power.
For the object of regenerating, Electric heating appliance (EHD) 30 is arranged in the tank of PF22.In each embodiment, EHD30 is located on or near the entrance 25 of filter 23.EHD30 can be constructed by any suitable resistive material, and for example winding or stacking metal monolith are constructed.Electricity conduits 32 is connected to electric power system, for example vehicle electrical system, thus provide electric power to heat described device for EHD30.In the time that EHD30 is heated, increased the temperature through the exhaust 15 of EHD30, and/or increased filter 23 EHD30 place or near the temperature of part.The hot environment that the increase of temperature provides regeneration to need.
In each embodiment, as shown in the sectional view of the amplification of Fig. 1, EHD30 is divided into the one or more districts that can be heated separately.For example, EHD30 can comprise the Z1 in the firstth district (being also referred to as centre area) and be also referred to as multiple other districts Z2, Z3, Z4 and the Z5 of circumference area.Be understandable that, EHD30 can comprise any amount of district.For convenience of explanation, the disclosure will be discussed in the context of exemplary centre area Z1 and circumference area Z2, Z3, Z4, Z5.
As shown in Figure 1, switch gear 38 comprises one or more switches, and described one or more switch selectivity are controlled and controlled, thereby allows electric current to flow to one or more the district Z1-Z5 of EHD30 by Electricity conduits 32 from vehicle power supply 40.Due to different exhausts or reproduction condition (for example, the regeneration, passive regeneration, the idle running of continuity, high load running for a long time, the long vehicle that interrupt are closed, etc.), the distribution of the particle (for example flue dust) in PF22 may be different.For example, for example, if exhaust situation has reflected that poor efficiency (, produce too much particle) or interrupt regenerative process (for example, could not remove the particle gathering) exist, this may cause the accumulation of particle in circumference area Z2, Z3, Z4 and Z5 so.In addition, these exhaust situations also may cause the inaccurate of model.In this example, switch gear 38 can be used to start the heating to circumference area.
Control module 42 can be come control engine 12 and switch gear 38 based on data that sense and/or modeling.Such sensitive information can be for example: the regeneration request based on granular model or the request from the replacement regeneration of the specific submodule of control module 42, shown the temperature information of the temperature of all parts in the temperature of exhaust 15 and/or PF22.Sensitive information can be received from temperature transducer 44 and 46, or can be the modeling temperature from PF22 upstream position.
In each embodiment, control module 42 is carried out control engine 12 and is arrived the current flowing of EHD30 by switch gear 38 based on particulate matter estimating system of the present invention and method.In one embodiment, particulate filter regeneration management system and the method condition based on certain is identified the potential deviation between the actual particle level situation of granular model and PF22.Thereby then control module 42 starts regenerative process regeneration PF22 by controlling EHD30 and/or motor 12.In another embodiment, the known condition (for example, the particulate matter accumulation level in particulate filter) that control module 42 relates to based on actual is carried out regenerative process, and it doesn't matter for this regenerative process and model data.These embodiments will be further described in this article.
Referring now to Fig. 2, also continue referring to Fig. 1, data stream Figure 200 shows and can be embedded in control module 42 and the various embodiments of particulate regeneration management system associated therewith.Can comprise the submodule in any amount of embedding control module 42 according to the various embodiments of particulate regeneration management process of the present invention.Be understandable that, the submodule shown in Fig. 2 can in conjunction with and/or Further Division, to estimate similarly the particulate matter (Fig. 1) in PF22.Input to system can sense (Fig. 1) from motor 12, be received from other control module (not shown) and/or by determine/modeling of other submodule (not shown) in control module 42.In various embodiments, control module 42 comprises model 61, model replacement enabler 63 and regeneration Coordination module 64.Model replacement enabler 63 comprises again deviation identification module 60 and replacement type recognition module 62 then.
In one embodiment, model 61 for example, along with the time is characterized by particle load in PF22 and the function of other parameters (, extraction flow, temperature etc.) by a series of test.Therefore, in pressure reduction response signal and be present between the granular mass in PF22 and set up coherence.Based on this coherence, model 61 can be predicted the particle level in PF22 in the case of the exhaust of given vehicle and driving condition.But for some in these situations, deviation identification module 60 can detect potential deviation, it identifies this coherence may be in lasting condition.Therefore, actual the possibility of result is not corresponding with the situation of model 61 based on its relevant dependency prediction with pressure reduction.In this case, will there is possible model bias.Therefore, deviation relate to based on pressure reduction predict the outcome and PF22 in actual particle level between coherence in possible loss and variation.
Deviation identification module 60 receives engine parameter 66 and the 68 conduct inputs of vent systems parameter.These parameters define exhaust situation and driving model situation, these parameters comprise engine parameter 66, for example engine speed, motor fuel, turbine external temperature, tail-off time (engine model information), and vent systems parameter 68, the for example particle of PF22 entrance NOx temperature, pressure, PF signal, mass flowrate, PF22 inside is estimated (it can be near the exhaust sensor being positioned at PF22, or from the electronic control unit in PF22 (ECU) model).Based on parameter 66,68, deviation identification module 60 determines whether to exist the situation of the deviation between the actual particle level in particle level and the PF22 that can cause prediction in model 61.In each embodiment, can be including, but not limited to having there is following situation in such situation: passive regeneration (that is, and this regeneration be not plan or order, but occur as the result of following situation, described situation comprises: have NO 2(nitrogen dioxide), delivery temperature between 250 DEG C and 400 DEG C and/or PF22 IT enough particle level result and occur), the regeneration event that causes residual smoke (for example, before regeneration event completes whole regeneration, extinguish), the driving condition of unreliable incremental pressure signal (situation of low exhaust flow rate and high exhaust flow rate for example, is provided) is provided.According to these situations, deviation identification module 60 arranges the Deviation Type 70 that has shown the situation that affects deviation.For example, Deviation Type 70 can be at least one in passive regeneration, residual particles, driving condition and long-time parking.
Replacement type recognition module 62 receives Deviation Type 70 as input.According to Deviation Type 70, replacement type recognition module 62 is determined a replacement priority 72.Replacement priority 72 can comprise multiple priority levels, and these priority levels comprise at least one in low priority, medium priority and high priority.For example, in one embodiment, in the time that Deviation Type is residual particles, replacement type recognition module 62 replacement types are set to height.In the time that Deviation Type 70 is passive regeneration, during replacement type recognition module 62 is set to replacement priority 72.When Deviation Type 70 is for driving condition or while stopping for a long time, replacement type recognition module 62 is set to low by replacement priority 72.In one embodiment, the priority value of appointment has defined the timing of regeneration event, and for example, priority is higher, and regeneration event will more quickly be performed.
According to Deviation Type 70, replacement type recognition module 62 is determined replacement district 74.Replacement district 74 can be corresponding with the district Z1-Z5 (Fig. 1) of EHD30.For example, in the time that Deviation Type 70 is residual smoke, replacement district 74 is set to selected district by replacement type recognition module 62, for example circumference area Z2-Z5.When Deviation Type 70 is for passive regeneration, driving condition or while stopping for a long time, replacement type recognition module 62 will all be set to the district 74 of resetting for example all district Z1-Z5.
Regeneration Coordination module 64 receives replacement priority 72, comes the replacement district 74 of self reset type recognition module 62 and the request 75 conduct inputs from deviation identification module 60.According to input 72,74, regeneration Coordination module 64 generates control signal 76 and regenerates to start to switch gear 38 and/or motor 12.For example, in the time that replacement priority 72 represents high priority, when particle level at particle level estimated result in very uncertain and PF22 need to be reset to known state, control signal 76 can be generated to switch gear 38, thereby makes the coherence between model based on pressure difference signal and crucial exhaust parameter can be rebuilt.In this case, regeneration Coordination module 64 can be executed the regeneration based on electric power by switch gear 38.In another embodiment, in the time that replacement priority 72 represents medium priority or low priority, in the case of exhaust and driving condition be judged as for the regeneration of electric power type be favourable, can generate control signal to switch gear 38.
In one embodiment, regeneration Coordination module 64 can also receive the regeneration request triggering via model 61.For example, if PF22 has been filled particle, regeneration order 77 and regeneration priority 79 can be transferred to regeneration Coordination module 64 so.In this case, regeneration Coordination module 64 is coordinated the regeneration request of two types: the regular regeneration request (for example ordering 77) triggering via model 61 and the replacement regeneration request (for example asking 75) from deviation identification module 60.What regular regeneration request was sought is remedies particle accumulation known in PF22, is in the time making model 61 consistent with current PF22 situation, particle to be accumulated and remedied and replacement regeneration request is sought.In addition, via switch gear 38, regeneration Coordination module 64 according to the incompatible coordination of priority set of the type of regeneration request (replacement or regular) and associated to any one needs in the regeneration based on electric power and the regeneration based on fuel.
In each embodiment, the temperature 78 of the exhaust of PF22 is left in 64 assessments of regeneration Coordination module, to determine whether the regeneration in the region being associated with specific active region completes.Once the regeneration in this region completes, the Coordination module of regenerating so 64 generates control signal 76 to switch gear 38, so that the district 74 that makes to reset is invalid, and then can estimate the present granule level in PF22.
Referring now to Fig. 3,, and continue referring to Fig. 1 and Fig. 2, this flow chart shows the method for controlling reproduction that can be carried out by the control module 42 in Fig. 1 according to the present invention.As cognoscible according to the present invention, the sequence of operation in method is not limited to the execution of the order shown in Fig. 3, but can carry out with suitable and one or more different orders according to the present invention.Be understandable that, in the case of substantially not changing the essence of this method, can remove the one or more steps in this method.
In each embodiment, the method can be dispatched to move based on scheduled event, and/or at the operation period of motor 12 continuous service.
In one embodiment, in step 100, method starts.In step 110, engine parameter 66 and/or vent systems parameter 68 are evaluated to determine Deviation Type 70.In step 120, determine replacement priority 72 based on Deviation Type 70.In step 130, determine replacement district 74 based on Deviation Type 70.In step 140, generate control signal 76 based on replacement district 74 and replacement priority 72.In step 150, once regenerative process completes, estimate remainder particulate level.Then, the method can finish in step 160, or in the time of vehicle operating, can repeat and advance and get back to step 100.
Although, describe the present invention with reference to example embodiment, it being understood that without departing from the present invention, those skilled in the art can make multiple change, and parts wherein can replace to equivalent.In addition, in the situation that not departing from essential scope of the present invention, many amendments can be carried out so that specific situation or material adapt to instruction of the present invention.Therefore, the present invention is intended to be not limited to disclosed specific embodiment, but the present invention will comprise all embodiments that drop within the scope of the application.

Claims (10)

1. for realizing a method for particulate filter regeneration management, comprising:
Utilize computer processor to determine the supposition deviation between the actual particle level situation of granular model and described particulate filter, by in identification parking for a long time, passive regeneration, residual particles and pressure signal at least one determine described supposition deviation, each in described long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type;
Based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event; And
Once described regeneration event completes, estimate the particle level in described particulate filter.
2. the method for claim 1, further comprises based on described granular model Deviation Type and determines regeneration replacement priority.
3. method as claimed in claim 2, wherein, described regeneration replacement priority is at least one in high priority, medium priority and low priority, described regeneration replacement priority has specified the timing of described regeneration event.
4. the method for claim 1, further comprises based on described granular model Deviation Type and determines at least one district in described multiple district.
The method of claim 1, wherein to lead at least one district in multiple districts current selective control and comprise: coordinate the regeneration request that triggered by described granular model and in response to the regeneration of the determining supposition deviation request of resetting.
6. the method for claim 1, wherein in the time that described granular model Deviation Type is passive regeneration, described at least one district comprises described multiple district.
7. the method for claim 1, wherein in the time that described granular model Deviation Type is in described long-time parking, residual smoke and described pressure signal, the district that described at least one district comprises is less than whole districts in described multiple districts.
8. the method for claim 1, further comprise: at least one in the particle level of the estimation based in exhaust situation, driving condition, described particulate filter and described supposition deviation determined regeneration type, and described regeneration type comprises at least one in the regeneration based on fuel and the regeneration based on electric power.
9. for realizing a control system for particulate filter regeneration management, comprising:
The first module, described the first module is determined the supposition deviation between the actual particle level situation of granular model and described particulate filter, by in identification parking for a long time, passive regeneration, residual particles and pressure signal at least one determine described supposition deviation, each in described long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type;
The second module, described the second module based on described supposition deviation to lead at least one district in multiple districts of electric heater current selective control to start regeneration event; And
The 3rd module, once described regeneration event completes, so described the 3rd module is estimated the particle level in described particulate filter.
10. a vehicle, comprising:
Particulate filter, described particulate filter has the electric heater that is divided into multiple districts; And
Control module, described control module comprises computer processor, and described computer processor has been realized a kind of method, and described method comprises:
Determine the supposition deviation between the actual particle level situation of granular model and described particulate filter, by in identification parking for a long time, passive regeneration, residual particles and pressure signal at least one determine described supposition deviation, each in described long-time parking, passive regeneration, residual particles and pressure signal specifies by corresponding granular model Deviation Type;
Based on described supposition deviation to lead at least one district in multiple districts of described electric heater current selective control to start regeneration event; And
Once described regeneration event completes, just estimate the particle level in described particulate filter.
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